no code implementations • 13 Jan 2023 • Scott Howland, Lara Kassab, Keerti Kappagantula, Henry Kvinge, Tegan Emerson
By characterizing microstructure from a topological perspective we are able to evaluate our models' ability to capture the breadth and diversity of experimental scanning electron microscope (SEM) samples.
1 code implementation • 28 Aug 2022 • Elena Sizikova, Joshua Vendrow, Xu Cao, Rachel Grotheer, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Thomas Merkh, R. W. M. A. Madushani, Kenny Moise, Annie Ulichney, Huy V. Vo, Chuntian Wang, Megan Coffee, Kathryn Leonard, Deanna Needell
Automatic infectious disease classification from images can facilitate needed medical diagnoses.
no code implementations • 1 Apr 2022 • Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson
Technological advances are in part enabled by the development of novel manufacturing processes that give rise to new materials or material property improvements.
no code implementations • 28 Feb 2022 • Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, RWMA Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
We propose new semi-supervised nonnegative matrix factorization (SSNMF) models for document classification and provide motivation for these models as maximum likelihood estimators.
1 code implementation • 15 Oct 2020 • Jamie Haddock, Lara Kassab, Sixian Li, Alona Kryshchenko, Rachel Grotheer, Elena Sizikova, Chuntian Wang, Thomas Merkh, R. W. M. A. Madushani, Miju Ahn, Deanna Needell, Kathryn Leonard
We propose several new models for semi-supervised nonnegative matrix factorization (SSNMF) and provide motivation for SSNMF models as maximum likelihood estimators given specific distributions of uncertainty.
Ranked #13 on Text Classification on 20NEWS
1 code implementation • 4 Oct 2020 • Lara Kassab, Alona Kryshchenko, Hanbaek Lyu, Denali Molitor, Deanna Needell, Elizaveta Rebrova, Jiahong Yuan
Further, we propose quantitative ways to measure the topic length and demonstrate the ability of S-NCPD (as well as its online variant) to discover short and long-lasting temporal topics in a controlled manner in semi-synthetic and real-world data including news headlines.
no code implementations • 2 Jan 2020 • Miju Ahn, Nicole Eikmeier, Jamie Haddock, Lara Kassab, Alona Kryshchenko, Kathryn Leonard, Deanna Needell, R. W. M. A. Madushani, Elena Sizikova, Chuntian Wang
There is currently an unprecedented demand for large-scale temporal data analysis due to the explosive growth of data.
1 code implementation • 9 Nov 2018 • Henry Adams, Johnathan Bush, Brittany Carr, Lara Kassab, Joshua Mirth
We propose a torus model for high-contrast patches of optical flow.